RRepoGEO

REPOGEO REPORT · LITE

xerrors/Yuxi

Default branch main · commit bac93a5d · scanned 5/15/2026, 7:32:23 AM

GitHub: 5,193 stars · 737 forks

AI VISIBILITY SCORE
33 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface xerrors/Yuxi, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a clear English introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    Insert the following English paragraph immediately after the main H1 (or any initial badges/links) and before the '核心特性' section: 'Yuxi is a multi-tenant LLM agent harness platform that integrates a LightRAG knowledge base and knowledge graphs. Built with LangChain, Vue, and FastAPI, it supports advanced features like DeepAgents, MinerU PDF, Neo4j, and MCP for building sophisticated LLM-powered applications.'
  • mediumtopics#2
    Add specific keywords to topics

    Why:

    CURRENT
    docker, fastapi, harness, kbqa, kgqa, llms, neo4j, rag, vue
    COPY-PASTE FIX
    docker, fastapi, harness, kbqa, kgqa, llms, neo4j, rag, vue, agent-platform, multi-tenant
  • lowabout#3
    Emphasize 'LLM' in the English description

    Why:

    CURRENT
    结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.
    COPY-PASTE FIX
    结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 A multi-tenant LLM agent harness platform that integrates a LightRAG knowledge base and knowledge graphs. Built with LangChain + Vue + FastAPI, it supports DeepAgents, MinerU PDF, Neo4j, and MCP.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface xerrors/Yuxi
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Haystack · recommended 2×
  4. FastAPI · recommended 2×
  5. Docker · recommended 2×
  • CATEGORY QUERY
    How to build a multi-tenant LLM agent platform integrating RAG and knowledge graphs?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Neo4j
    3. OpenAI GPT
    4. Anthropic Claude
    5. Google Gemini
    6. Pinecone
    7. Weaviate
    8. ChromaDB
    9. Kubernetes
    10. AWS EKS
    11. Azure AKS
    12. Google GKE
    13. LlamaIndex
    14. Microsoft Azure AI Studio
    15. Google Cloud Vertex AI
    16. AWS Bedrock
    17. Azure Cosmos DB for Apache Gremlin
    18. Amazon Neptune
    19. Google Cloud Knowledge Graph API
    20. Azure AI Search
    21. Amazon Kendra
    22. Google Cloud Search
    23. Haystack
    24. Elasticsearch
    25. OpenSearch
    26. Docker Swarm
    27. FastAPI
    28. Faiss
    29. Annoy
    30. Hnswlib
    31. Docker
    32. Prometheus
    33. Grafana
    34. OpenTelemetry

    AI recommended 34 alternatives but never named xerrors/Yuxi. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a full-stack agent development platform using FastAPI and Vue with Docker deployment.
    you: not recommended
    AI recommended (in order):
    1. FastAPI
    2. Vue.js
    3. Docker
    4. LangChain
    5. LlamaIndex
    6. Haystack
    7. Gradio
    8. Panel

    AI recommended 8 alternatives but never named xerrors/Yuxi. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of xerrors/Yuxi?
    pass
    AI named xerrors/Yuxi explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts xerrors/Yuxi in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name xerrors/Yuxi — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo xerrors/Yuxi solve, and who is the primary audience?
    pass
    AI named xerrors/Yuxi explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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  • Brand-free category queries5 vs 2 in Lite
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